Hi, Is there a particular reason that you can’t provide all the dMRI scans at once, and let the pipeline handle the merging for you? If you process each dMRI run separately, then the individual runs will not be in optimal alignment. (You would be relying on the registration of each run to the T1, rather than registering the dMRI directly to each other as part of ‘eddy’).
cheers, -MH -- Michael Harms, Ph.D. ----------------------------------------------------------- Conte Center for the Neuroscience of Mental Disorders Washington University School of Medicine Department of Psychiatry, Box 8134 660 South Euclid Ave. Tel: 314-747-6173 St. Louis, MO 63110 Email: mha...@wustl.edu From: <hcp-users-boun...@humanconnectome.org<mailto:hcp-users-boun...@humanconnectome.org>> on behalf of Yeun Kim <yeun...@gmail.com<mailto:yeun...@gmail.com>> Date: Monday, July 17, 2017 at 1:32 PM To: "Glasser, Matthew" <glass...@wustl.edu<mailto:glass...@wustl.edu>> Cc: "hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>" <hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>> Subject: Re: [HCP-Users] diffusion data merge pipeline I am using the following function (and is looped through the pairs of unique sets of gradient tables (i.e. loops twice for dir99 and dir98): ${HCPPIPEDIR}/DiffusionPreprocessing/DiffPreprocPipeline.sh \ --posData="{posData}" \ --negData="{negData}" \ --path="{path}" \ --subject="{subject}" \ --echospacing="{echospacing}" \ --PEdir={PEdir} \ --gdcoeffs="NONE" \ --dwiname="{dwiname}" \ --printcom=""' Where: $posData = diffusion data in the positive direction $negData = diffusion data in the negative direction $path = output directory path $echospacing = echospacing $PEdir = 2 $dwiname = i.e. Diffusion_dir-98_run-01 FYI: I'm using HCPPipelines v3.17. ------------------------------------------------------------- Technical details: I run ${HCPPIPEDIR}/DiffusionPreprocessing/DiffPreprocPipeline.sh in a Docker container with the following python code. It is looped through the pairs of unique sets of gradient tables (i.e. loops twice for dir99 and dir98) and set to process in parallel: dwi_stage_dict = OrderedDict([("DiffusionPreprocessing", partial(run_diffusion_processsing, posData=pos, negData=neg, path=args.output_dir, subject="sub-%s" % subject_label, echospacing=echospacing, PEdir=PEdir, gdcoeffs="NONE", dwiname=dwiname, n_cpus=args.n_cpus))]) for stage, stage_func in dwi_stage_dict.iteritems(): if stage in args.stages: Process(target=stage_func).start() On Mon, Jul 17, 2017 at 11:15 AM, Glasser, Matthew <glass...@wustl.edu<mailto:glass...@wustl.edu>> wrote: The pipeline is capable of doing the merge for you if you want. Can you post how you called the diffusion pipeline? Peace, Matt. From: Yeun Kim <yeun...@gmail.com<mailto:yeun...@gmail.com>> Date: Monday, July 17, 2017 at 1:12 PM To: Matt Glasser <glass...@wustl.edu<mailto:glass...@wustl.edu>> Cc: "hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>" <hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>> Subject: Re: [HCP-Users] diffusion data merge pipeline When I run DiffusionPreprocessing, I make the --dwiname=DWIName specific to the diffusion scan (i.e. DWIName= Diffusion_dir-98_run-01) to prevent files from being overwritten. I end up with: ${StudyFolder}/${Subject}/T1w/Diffusion_dir-98_run-01/data.nii.gz ${StudyFolder}/${Subject}/T1w/Diffusion_dir-99_run-01/data.nii.gz I would like to combine the two data.nii.gz files. On Mon, Jul 17, 2017 at 10:58 AM, Glasser, Matthew <glass...@wustl.edu<mailto:glass...@wustl.edu>> wrote: Look for the ${StudyFolder}/${Subject}/T1w/Diffusion/data.nii.gz file. Peace, Matt. From: <hcp-users-boun...@humanconnectome.org<mailto:hcp-users-boun...@humanconnectome.org>> on behalf of Yeun Kim <yeun...@gmail.com<mailto:yeun...@gmail.com>> Date: Monday, July 17, 2017 at 12:56 PM To: "hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>" <hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>> Subject: [HCP-Users] diffusion data merge pipeline Hi, We have the diffusion scans: dMRI_dir98_AP, dMRI_dir98_PA dMRI_dir99_AP, dMRI_dir99_PA in which there is a pair of phase encoding directions (AP,PA) and two sets of different diffusion weighting directions (dir98 and dir99). After running the DiffusionPreprocessing module of the HCP minimal preprocessing pipeline, I would like to merge the processed dMRI_dir98 and dMRI_dir99 data. Do you have any suggestions on how to perform this step? Also, are there any workflows developed by HCP for post-DiffusionPreprocessing? Thank you, Yeun _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org<mailto:HCP-Users@humanconnectome.org> http://lists.humanconnectome.org/mailman/listinfo/hcp-users _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org<mailto:HCP-Users@humanconnectome.org> http://lists.humanconnectome.org/mailman/listinfo/hcp-users ________________________________ The materials in this message are private and may contain Protected Healthcare Information or other information of a sensitive nature. If you are not the intended recipient, be advised that any unauthorized use, disclosure, copying or the taking of any action in reliance on the contents of this information is strictly prohibited. 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